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Decision Science Analyst I - Bank Omnichannel Data Products - Phoenix Arizona
Company: USAA Location: Phoenix, Arizona
Posted On: 05/14/2024
Why USAA?Let's do something that really matters. At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members. We believe in our core values of honesty, integrity, loyalty, and service. They're what guides everything we do - from how we treat our members to how we treat each other. Come be a part of what makes us so special! As a dedicated Decision Science Analyst I, you will provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating, and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, or Charlotte, NC. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel.The OpportunityWe are currently on a groundbreaking and exciting journey to continuously craft and deliver Data and Analytics Products for Bank Omnichannel that'll improve customer experience, optimize business operations, and drive strategic decision-making. This role requires understanding and experience of data and analytics within the Omnichannel business domain(s) including Digital Channels, Contact Centers, Customer Servicing Portal, Customer, and Banks Products. You will join a team of hardworking Data Products, Decision Science, and Data Science Analysts to deliver these data solutions and capabilities, enabling Omnichannel consumption use cases as business intelligence, deep analytics & insights, sophisticated analytics, and Generative AI via our strategic Data Cloud ecosystem and technologies. Aligned to Omnichannel value streams, data products lifecycle, and information delivery processes, responsibilities for this role will include comprehensive data analysis, data product and metadata requirements, data modeling, performance monitoring, data visualization, and continuous improvement of these products and processes. Collaboration and communication with cross-organizational, cross-functional teams is crucial for planning, tracking, and developing innovative data products and solutions that will demonstrate broad set of foundational and derived omnichannel data and metrics. Additionally, this role will provide strategic mentorship to management, ensures data governance and compliance, manages collaborators, demonstrates strong discernment, has excellent communication skills, and stays updated with industry trends and standard methodologies.What you'll do: - Demonstrates intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
- Applies sophisticated analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
- Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
- Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper-level management.
- Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
- Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
- Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
- Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
- Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
- Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.
- Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.What you have:
- Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) or an Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years' experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).
- Demonstrates proficiency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
- Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.What sets you apart:
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